Ran 13 years of my Facebook comments through an AI Topic Sorter I like. I set it for 60 words each in 6 Topics. Ran it for 6000 iterations and I like this topic: system words human brain systems thinking theory similar process set logic form language information sense view universe reality based god order knowledge experience basic math data model concept perspective nature physics work number humans level simple learning mathematics general difficult patterns study research logical exist points concepts understanding fascinating ways numbers function fit computers present physical memory computer working notion

Ran 13 years of my Facebook comments through an AI Topic Sorter I like. I set it for 60 words each in 6 Topics. Ran it for 6000 iterations and I like this topic:
 
system words human brain systems thinking theory similar process set logic form language information sense view universe reality based god order knowledge experience basic math data model concept perspective nature physics work number humans level simple learning mathematics general difficult patterns study research logical exist points concepts understanding fascinating ways numbers function fit computers present physical memory computer working notion
This is the tool I used for the Topic Modeling. Very easy to use. You change the settings and see what it does. It takes in plain text. https://senderle.github.io/topic-modeling-tool/documentation/2017/01/06/quickstart.html
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 For my facebook comments, I downloaded them a month or two ago using the Facebook download feature. I selected ONLY my comments with no pictures or videos or anything so that it wouldn’t be huge. But unfortunately it’s in JSON format and I’m used to CSV. Thankfully, last night I found a JSON TO CSV tool that worked perfectly for me in Python 2. (I had to use Py -2 [program name] inputfile.json “comments_v2″ outputfile.csv and it worked. I’m no good at python or json but I was determined to stay there as short as possible a time and thankfully it worked.

The tool I found is here:

https://github.com/vinay20045/json-to-csv

 

2nd topic that came up seems to be “politics” or voting or election stuff.
don people things good thing make point life doesn kind true bad wrong lot understand isn trump left change real person feel talking political care matter won reason talk means hope politics wouldn learn important call agree hear strong difference follow hard control expect happen correct truth choice give dunno normal aren stupid ways vote party hold opinion hate rules
3rd topic seems to be “nostalgia”
time ve years stuff long didn made thought ago lot day back yeah remember thing show wasn year times online fun internet past guy found music watch knew video started play wanted bit friends post kid days amazing heard pretty weird learned game computer facebook couldn youtube glad tv guess haven www friend ppl shows awesome yrs wrote meme happened
4th topic seems to be me talking about Florida politics
work big usa place power free state case problem money public law family business job future live florida president working police small states house local run issue pay fine home war rights making government powerful laws level needed deal levels area longer community support current death continue focus large stay areas taking country response living problems attention low company individual
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 Topic 5 seems to be…
… I can’t guess what the central theme would be of this. Might be overflow words? I dunno. ll find love back mind makes put idea end works start answer head make question moment easy side good hard line stop making close type paper sense top face bit give body perfect water move takes write turn open room happy sounds strange sound nice figure hand quickly feeling eyes writing picture thinking coming image space great color deep light

 The last topic in this session 6, seems to be
“society” / “culture”. It’s got school, groups of people, memes, so I guess that’s what this is.

part school world read white science kids common group man great word https american book history called news interesting black social high middle age story groups men philosophy today religion society women children wikipedia standard org found style class test boy culture dead anti books guy religious king article special memes fan grade source basically media en schools education child

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